{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제53_노인_지난선거_정책\data\code_analysis_1_original_survey.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 May 2025, 20:16:42

{com}. encode region, gen( region_1)

. 
. xtile income_quintile = income, nq(5)

. 
. 
. 
. Analysis 1
{err}command {bf}Analysis{sf} is unrecognized
{txt}{search r(199), local:r(199);}

{com}. 
. ologit welfare_for_aged ideology age sex education income_quintile homeownership work_status i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1349.0038}  
Iteration 1:{space 3}log likelihood = {res:-1339.5602}  
Iteration 2:{space 3}log likelihood = {res:-1339.5474}  
Iteration 3:{space 3}log likelihood = {res:-1339.5474}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}20{txt}){col 67}= {res}     18.91
{txt}{col 49}Prob > chi2{col 67}= {res}    0.5275
{txt}Log likelihood = {res}-1339.5474{txt}{col 49}Pseudo R2{col 67}= {res}    0.0070

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}welfare_for_aged{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ideology {c |}{col 18}{res}{space 2} .0275415{col 30}{space 2} .0509812{col 41}{space 1}    0.54{col 50}{space 3}0.589{col 58}{space 4}-.0723799{col 71}{space 3} .1274628
{txt}{space 13}age {c |}{col 18}{res}{space 2} -.018277{col 30}{space 2} .0153163{col 41}{space 1}   -1.19{col 50}{space 3}0.233{col 58}{space 4}-.0482963{col 71}{space 3} .0117423
{txt}{space 13}sex {c |}{col 18}{res}{space 2} .0434413{col 30}{space 2} .1190847{col 41}{space 1}    0.36{col 50}{space 3}0.715{col 58}{space 4}-.1899603{col 71}{space 3} .2768429
{txt}{space 7}education {c |}{col 18}{res}{space 2} -.084358{col 30}{space 2} .0578565{col 41}{space 1}   -1.46{col 50}{space 3}0.145{col 58}{space 4}-.1977546{col 71}{space 3} .0290387
{txt}{space 1}income_quintile {c |}{col 18}{res}{space 2} -.018787{col 30}{space 2} .0436546{col 41}{space 1}   -0.43{col 50}{space 3}0.667{col 58}{space 4}-.1043485{col 71}{space 3} .0667745
{txt}{space 3}homeownership {c |}{col 18}{res}{space 2} .0248466{col 30}{space 2}  .122852{col 41}{space 1}    0.20{col 50}{space 3}0.840{col 58}{space 4}-.2159388{col 71}{space 3}  .265632
{txt}{space 5}work_status {c |}{col 18}{res}{space 2}  .196006{col 30}{space 2} .1262157{col 41}{space 1}    1.55{col 50}{space 3}0.120{col 58}{space 4}-.0513722{col 71}{space 3} .4433842
{txt}{space 16} {c |}
{space 10}living {c |}
{space 14}2  {c |}{col 18}{res}{space 2} .2217775{col 30}{space 2}  .145516{col 41}{space 1}    1.52{col 50}{space 3}0.127{col 58}{space 4}-.0634287{col 71}{space 3} .5069837
{txt}{space 14}3  {c |}{col 18}{res}{space 2} .2092507{col 30}{space 2} .1480892{col 41}{space 1}    1.41{col 50}{space 3}0.158{col 58}{space 4}-.0809988{col 71}{space 3} .4995001
{txt}{space 16} {c |}
{space 8}religion {c |}
{space 14}1  {c |}{col 18}{res}{space 2}-.1213851{col 30}{space 2} .1620345{col 41}{space 1}   -0.75{col 50}{space 3}0.454{col 58}{space 4} -.438967{col 71}{space 3} .1961967
{txt}{space 14}2  {c |}{col 18}{res}{space 2}-.0566279{col 30}{space 2} .1779605{col 41}{space 1}   -0.32{col 50}{space 3}0.750{col 58}{space 4}-.4054241{col 71}{space 3} .2921682
{txt}{space 14}3  {c |}{col 18}{res}{space 2} .1946859{col 30}{space 2} .1655905{col 41}{space 1}    1.18{col 50}{space 3}0.240{col 58}{space 4}-.1298655{col 71}{space 3} .5192373
{txt}{space 14}4  {c |}{col 18}{res}{space 2}-.1373238{col 30}{space 2} .3053052{col 41}{space 1}   -0.45{col 50}{space 3}0.653{col 58}{space 4} -.735711{col 71}{space 3} .4610634
{txt}{space 16} {c |}
{space 8}region_1 {c |}
{space 1}Chungcheongnam  {c |}{col 18}{res}{space 2}-.4067339{col 30}{space 2} .2416662{col 41}{space 1}   -1.68{col 50}{space 3}0.092{col 58}{space 4}-.8803909{col 71}{space 3} .0669231
{txt}{space 10}Daegu  {c |}{col 18}{res}{space 2} .0584771{col 30}{space 2} .2461691{col 41}{space 1}    0.24{col 50}{space 3}0.812{col 58}{space 4}-.4240055{col 71}{space 3} .5409597
{txt}{space 8}Gwangju  {c |}{col 18}{res}{space 2} .0329514{col 30}{space 2} .2395858{col 41}{space 1}    0.14{col 50}{space 3}0.891{col 58}{space 4}-.4366281{col 71}{space 3} .5025309
{txt}{space 2}Gyeongsangbuk  {c |}{col 18}{res}{space 2}-.0415908{col 30}{space 2} .2473461{col 41}{space 1}   -0.17{col 50}{space 3}0.866{col 58}{space 4}-.5263802{col 71}{space 3} .4431987
{txt}{space 8}Gyonggi  {c |}{col 18}{res}{space 2}-.0813094{col 30}{space 2}  .239468{col 41}{space 1}   -0.34{col 50}{space 3}0.734{col 58}{space 4} -.550658{col 71}{space 3} .3880391
{txt}{space 6}Jeollanam  {c |}{col 18}{res}{space 2}-.2849445{col 30}{space 2} .2417458{col 41}{space 1}   -1.18{col 50}{space 3}0.239{col 58}{space 4}-.7587575{col 71}{space 3} .1888685
{txt}{space 10}Seoul  {c |}{col 18}{res}{space 2} -.114619{col 30}{space 2} .2393357{col 41}{space 1}   -0.48{col 50}{space 3}0.632{col 58}{space 4}-.5837084{col 71}{space 3} .3544704
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /cut1 {c |}{col 18}{res}{space 2}-4.339864{col 30}{space 2} 1.196522{col 58}{space 4}-6.685004{col 71}{space 3}-1.994724
{txt}           /cut2 {c |}{col 18}{res}{space 2}-3.083211{col 30}{space 2} 1.190569{col 58}{space 4}-5.416683{col 71}{space 3}-.7497381
{txt}           /cut3 {c |}{col 18}{res}{space 2} -2.21731{col 30}{space 2} 1.188314{col 58}{space 4}-4.546363{col 71}{space 3} .1117426
{txt}           /cut4 {c |}{col 18}{res}{space 2} -1.43481{col 30}{space 2} 1.187109{col 58}{space 4}-3.761501{col 71}{space 3} .8918805
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_1

. 
. 
. 
. ologit hard_on_north_korea ideology age sex education income_quintile homeownership work_status i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -1353.887}  
Iteration 1:{space 3}log likelihood = {res:-1343.8857}  
Iteration 2:{space 3}log likelihood = {res:-1343.8715}  
Iteration 3:{space 3}log likelihood = {res:-1343.8715}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}20{txt}){col 67}= {res}     20.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.4560
{txt}Log likelihood = {res}-1343.8715{txt}{col 49}Pseudo R2{col 67}= {res}    0.0074

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}hard_on_north_korea{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}ideology {c |}{col 21}{res}{space 2} .0478965{col 33}{space 2} .0507979{col 44}{space 1}    0.94{col 53}{space 3}0.346{col 61}{space 4}-.0516655{col 74}{space 3} .1474586
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0199166{col 33}{space 2} .0152575{col 44}{space 1}   -1.31{col 53}{space 3}0.192{col 61}{space 4}-.0498208{col 74}{space 3} .0099876
{txt}{space 16}sex {c |}{col 21}{res}{space 2} .0818582{col 33}{space 2} .1189782{col 44}{space 1}    0.69{col 53}{space 3}0.491{col 61}{space 4}-.1513347{col 74}{space 3} .3150511
{txt}{space 10}education {c |}{col 21}{res}{space 2}-.0641944{col 33}{space 2} .0577662{col 44}{space 1}   -1.11{col 53}{space 3}0.266{col 61}{space 4}-.1774142{col 74}{space 3} .0490253
{txt}{space 4}income_quintile {c |}{col 21}{res}{space 2} -.007004{col 33}{space 2} .0434562{col 44}{space 1}   -0.16{col 53}{space 3}0.872{col 61}{space 4}-.0921765{col 74}{space 3} .0781685
{txt}{space 6}homeownership {c |}{col 21}{res}{space 2} .0138991{col 33}{space 2} .1222977{col 44}{space 1}    0.11{col 53}{space 3}0.910{col 61}{space 4}-.2258001{col 74}{space 3} .2535982
{txt}{space 8}work_status {c |}{col 21}{res}{space 2} .1700424{col 33}{space 2} .1258396{col 44}{space 1}    1.35{col 53}{space 3}0.177{col 61}{space 4}-.0765987{col 74}{space 3} .4166834
{txt}{space 19} {c |}
{space 13}living {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2566468{col 33}{space 2}  .145335{col 44}{space 1}    1.77{col 53}{space 3}0.077{col 61}{space 4}-.0282045{col 74}{space 3} .5414981
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .2125328{col 33}{space 2} .1479296{col 44}{space 1}    1.44{col 53}{space 3}0.151{col 61}{space 4}-.0774038{col 74}{space 3} .5024694
{txt}{space 19} {c |}
{space 11}religion {c |}
{space 17}1  {c |}{col 21}{res}{space 2}-.1481832{col 33}{space 2} .1612625{col 44}{space 1}   -0.92{col 53}{space 3}0.358{col 61}{space 4}-.4642519{col 74}{space 3} .1678856
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .0488135{col 33}{space 2}  .178801{col 44}{space 1}    0.27{col 53}{space 3}0.785{col 61}{space 4}  -.30163{col 74}{space 3}  .399257
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .2547522{col 33}{space 2} .1651976{col 44}{space 1}    1.54{col 53}{space 3}0.123{col 61}{space 4}-.0690291{col 74}{space 3} .5785335
{txt}{space 17}4  {c |}{col 21}{res}{space 2}  .083747{col 33}{space 2} .3110663{col 44}{space 1}    0.27{col 53}{space 3}0.788{col 61}{space 4}-.5259318{col 74}{space 3} .6934257
{txt}{space 19} {c |}
{space 11}region_1 {c |}
{space 4}Chungcheongnam  {c |}{col 21}{res}{space 2}-.3317207{col 33}{space 2} .2412553{col 44}{space 1}   -1.37{col 53}{space 3}0.169{col 61}{space 4}-.8045725{col 74}{space 3}  .141131
{txt}{space 13}Daegu  {c |}{col 21}{res}{space 2} .1246299{col 33}{space 2} .2456718{col 44}{space 1}    0.51{col 53}{space 3}0.612{col 61}{space 4}-.3568781{col 74}{space 3} .6061378
{txt}{space 11}Gwangju  {c |}{col 21}{res}{space 2} .0845447{col 33}{space 2} .2388946{col 44}{space 1}    0.35{col 53}{space 3}0.723{col 61}{space 4}-.3836802{col 74}{space 3} .5527695
{txt}{space 5}Gyeongsangbuk  {c |}{col 21}{res}{space 2}-.0634292{col 33}{space 2} .2448829{col 44}{space 1}   -0.26{col 53}{space 3}0.796{col 61}{space 4}-.5433909{col 74}{space 3} .4165326
{txt}{space 11}Gyonggi  {c |}{col 21}{res}{space 2}-.1463517{col 33}{space 2} .2372957{col 44}{space 1}   -0.62{col 53}{space 3}0.537{col 61}{space 4}-.6114428{col 74}{space 3} .3187393
{txt}{space 9}Jeollanam  {c |}{col 21}{res}{space 2}-.3248989{col 33}{space 2} .2404288{col 44}{space 1}   -1.35{col 53}{space 3}0.177{col 61}{space 4}-.7961307{col 74}{space 3} .1463329
{txt}{space 13}Seoul  {c |}{col 21}{res}{space 2}-.1125295{col 33}{space 2} .2384702{col 44}{space 1}   -0.47{col 53}{space 3}0.637{col 61}{space 4}-.5799225{col 74}{space 3} .3548634
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              /cut1 {c |}{col 21}{res}{space 2}-4.252543{col 33}{space 2} 1.193161{col 61}{space 4}-6.591095{col 74}{space 3}-1.913991
{txt}              /cut2 {c |}{col 21}{res}{space 2}-2.975361{col 33}{space 2} 1.187292{col 61}{space 4}-5.302411{col 74}{space 3}-.6483114
{txt}              /cut3 {c |}{col 21}{res}{space 2}-2.091765{col 33}{space 2} 1.184924{col 61}{space 4}-4.414174{col 74}{space 3} .2306439
{txt}              /cut4 {c |}{col 21}{res}{space 2}-1.307453{col 33}{space 2} 1.183537{col 61}{space 4}-3.627143{col 74}{space 3} 1.012237
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_2

. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제53_노인_지난선거_정책\data\code_analysis_1_original_survey.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}20 May 2025, 20:17:03
{txt}{.-}
{smcl}
{txt}{sf}{ul off}